Muntazir Abidi
A5065960659- Cosmology and Gravitation Theories
- Galaxies: Formation, Evolution, Phenomena
- Dark Matter and Cosmic Phenomena
- Statistical and numerical algorithms
- Computational Physics and Python Applications
- Astronomy and Astrophysical Research
- Gaussian Processes and Bayesian Inference
- Radio Astronomy Observations and Technology
- Advanced Clustering Algorithms Research
- Scientific Research and Discoveries
- Stellar, planetary, and galactic studies
- Data Management and Algorithms
- Geophysics and Gravity Measurements
- Traffic Prediction and Management Techniques
- Remote Sensing in Agriculture
- Theoretical and Computational Physics
- Black Holes and Theoretical Physics
- Climate variability and models
- Data Analysis with R
- Error Correcting Code Techniques
- Statistics Education and Methodologies
- Earth Systems and Cosmic Evolution
- Advanced Statistical Methods and Models
- Simulation Techniques and Applications
- Superconducting and THz Device Technology
University of Geneva
2022-2023
University of Cambridge
2018-2021
Predictions of the next-to-leading order, i.e. one-loop, halo power spectra depend on local and non-local bias parameters up to cubic order. The linear parameter can be estimated from large scale limit halo-matter spectrum, second order scale, tree-level, bispectrum. Cubic operators would naturally quantified using tree-level trispectrum. As latter is computationally expensive, we extent quadratic field method proposed in Schmittfull et al. 2014 fields estimate parameters. We cross-correlate...
Marked power spectra are two-point statistics of a marked field obtained by weighting each location with function that depends on the local density around point. We consider galaxy in redshift space up-weight low regions, and perform Fisher matrix analysis to assess information content this type using Molino mock catalogs built upon Quijote simulations. identify four different ways field, compare contained their one standard spectrum, when considering monopole quadrupole statistic. Our...
Abstract Simulation-Based Inference of Galaxies ( SimBIG ) is a forward modeling framework for analyzing galaxy clustering using simulation-based inference. In this work, we present the model, which designed to match observed SDSS-III BOSS CMASS sample. The model based on high-resolution Quijote N -body simulations and flexible halo occupation model. It includes full survey realism models observational systematics such as angular masking fiber collisions. We “mock challenge” validating...
Our current understanding of the Universe is established through pristine measurements structure in cosmic microwave background (CMB) and distribution shapes galaxies tracing large scale (LSS) Universe. One key ingredient that underlies cosmological observables field sources observed assumed to be initially Gaussian with high precision. Nevertheless, a minimal deviation from Gaussianityis perhaps most robust theoretical prediction models explain Universe; itis necessarily present even...
Inflation may provide unique insight into the physics at highest available energy scales that cannot be replicated in any realistic terrestrial experiment. Features primordial power spectrum are generically predicted a wide class of models inflation and its alternatives, observationally one most overlooked channels for finding evidence non-minimal inflationary models. Constraints from observations cosmic microwave background cover widest range feature frequencies, but sensitive constraints...
Our current understanding of the Universe is established through pristine measurements structure in cosmic microwave background (CMB) and distribution shapes galaxies tracing large scale (LSS) Universe. One key ingredient that underlies cosmological observables field sources observed assumed to be initially Gaussian with high precision. Nevertheless, a minimal deviation from Gaussianityis perhaps most robust theoretical prediction models explain Universe; itis necessarily present even...
Simulation-based inference (SBI) is rapidly establishing itself as a standard machine learning technique for analyzing data in cosmological surveys. Despite continual improvements to the quality of density estimation by learned models, applications such techniques real are entirely reliant on generalization power neural networks far outside training distribution, which mostly unconstrained. Due imperfections scientist-created simulations, and large computational expense generating all...
We present cosmological constraints from a simulation-based inference (SBI) analysis of galaxy clustering the S im BIG forward modeling framework. leverages predictive power high-fidelity simulations and provides an framework that can extract information on small nonlinear scales. In this work, we apply to Baryon Oscillation Spectroscopic Survey (BOSS) CMASS sample analyze spectrum, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow>...
The hot dense environment of the early universe is known to have produced large numbers baryons, photons, and neutrinos. These extreme conditions may also other long-lived species, including new light particles (such as axions or sterile neutrinos) gravitational waves. effects any such relics can be observed through their unique imprint in cosmic microwave background (CMB), large-scale structure, primordial element abundances, are important determining initial universe. We argue that future...
Extracting non-Gaussian information from the non-linear regime of structure formation is key to fully exploiting rich data upcoming cosmological surveys probing large-scale universe. However, due theoretical and computational complexities, this remains one main challenges in analyzing observational data. We present a set summary statistics for matter fields based on 3D wavelets tackle challenge. These are computed as spatial average complex modulus wavelet transform raised power $q$...
The expansion of the Universe is understood to have accelerated during two epochs: in its very first moments a period Inflation and much more recently, at $z < 1$, when Dark Energy hypothesized drive cosmic acceleration. undiscovered mechanisms behind these epochs represent some most important open problems fundamental physics. large cosmological volume $2 z 5$, together with ability efficiently target high-$z$ galaxies known techniques, enables gains study Energy. A future spectroscopic...
The authors propose a method of constructing the large scale Fourier modes cosmic density field, which are very important in cosmology but can, for variety reasons be inaccessible, from correlations they induce, owing to non linear growth among smaller modes.
We present the first-ever cosmological constraints from a simulation-based inference (SBI) analysis of galaxy clustering new ${\rm S{\scriptsize IM}BIG}$ forward modeling framework. leverages predictive power high-fidelity simulations and provides an framework that can extract information on small non-linear scales, inaccessible with standard analyses. In this work, we apply to BOSS CMASS sample analyze spectrum, $P_\ell(k)$, $k_{\rm max}=0.5\,h/{\rm Mpc}$. construct 20,000 simulated samples...
Modern galaxy cluster science is a multi-wavelength endeavor with cornerstones provided by X-ray, optical/IR, mm, and radio measurements. In combination, these observations enable the construction of large, clean, complete catalogs, provide precise redshifts robust mass calibration. The complementary nature data dramatically reduces impact systematic effects that limit utility measurements made in any single waveband. future compelling, catalogs set to expand orders magnitude size, extend,...
Astrophysical observations currently provide the only robust, empirical measurements of dark matter. In coming decade, astrophysical will guide other experimental efforts, while simultaneously probing unique regions matter parameter space. This white paper summarizes that can constrain fundamental physics in era LSST. We describe how inform our understanding properties matter, such as particle mass, self-interaction strength, non-gravitational interactions with Standard Model, and compact...
We propose a novel method to measure the ${E}_{G}$ statistic from clustering alone. The provides an elegant way of testing consistency General Relativity by comparing geometry Universe, probed through gravitational lensing, with motion galaxies in that geometry. Current estimators combine galaxy measured either cosmic shear or CMB lensing. In this paper, we construct estimator for ${E}_{G}$, using only information obtained two tracers large-scale structure: intensity mapping and clustering....
Marked power spectra are two-point statistics of a marked field obtained by weighting each location with function that depends on the local density around point. We consider galaxy in redshift space up-weight low regions, and perform Fisher matrix analysis to assess information content this type using Molino mock catalogs built upon Quijote simulations. identify four different ways field, compare contained their one standard spectrum, when considering monopole quadrupole statistic. Our...
We propose a novel method to measure the $E_G$ statistic from clustering alone. The provides an elegant way of testing consistency General Relativity by comparing geometry Universe, probed through gravitational lensing, with motion galaxies in that geometry. Current estimators combine galaxy measured either cosmic shear or CMB lensing. In this paper, we construct estimator for $E_G$, using only information obtained two tracers large-scale structure: intensity mapping and clustering....
Simulation-Based Inference of Galaxies (${\rm S{\scriptsize IM}BIG}$) is a forward modeling framework for analyzing galaxy clustering using simulation-based inference. In this work, we present the ${\rm IM}BIG}$ model, which designed to match observed SDSS-III BOSS CMASS sample. The model based on high-resolution Q{\scriptsize UIJOTE}}$ $N$-body simulations and flexible halo occupation model. It includes full survey realism models observational systematics such as angular masking fiber...